241 citations · 604 across the 4 of their papers we have counts for
4 papers
Spatially Transformed Adversarial Examples
Chaowei Xiao, Jun-Yan Zhu, Bo Li +3
Recent studies show that widely used deep neural networks (DNNs) are vulnerable to carefully crafted adversarial examples. Many advanced algorithms have been proposed to generate a…
Exploring the Space of Black-box Attacks on Deep Neural Networks
Arjun Nitin Bhagoji, Warren He, Bo Li +1
Existing black-box attacks on deep neural networks (DNNs) so far have largely focused on transferability, where an adversarial instance generated for a locally trained model can "t…
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen +2
Ongoing research has proposed several methods to defend neural networks against adversarial examples, many of which researchers have shown to be ineffective. We ask whether a stron…
Proof of Luck: an Efficient Blockchain Consensus Protocol
Mitar Milutinovic, Warren He, Howard Wu +1
In the paper, we present designs for multiple blockchain consensus primitives and a novel blockchain system, all based on the use of trusted execution environments (TEEs), such as…